code: def test_lr_monitor_no_logger(tmpdir):
      model = BoringModel()
  
      lr_monitor = LearningRateMonitor()
      trainer = Trainer(
          default_root_dir=tmpdir,
          max_epochs=1,
          callbacks=[lr_monitor],
          logger=False,
      )
  
      with pytest.raises(
          MisconfigurationException,
          match="`Trainer` that has no logger",
      ):
          trainer.fit(model)
  
imports: import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import EarlyStopping, LearningRateMonitor
  from lightning.pytorch.callbacks.callback import Callback
  from lightning.pytorch.callbacks.finetuning import BackboneFinetuning
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.loggers import CSVLogger
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from torch import optim
  from tests_pytorch.helpers.datamodules import ClassifDataModule
  from tests_pytorch.helpers.runif import RunIf
  from tests_pytorch.helpers.simple_models import ClassificationModel
label_desc: Use image node_id 7 for calling a global function with example usage: test_lr_monitor_no_logger(tmpdir) without return types